A benchmark of in-the-wild distribution shifts spanning diverse data modalities and applications, from tumor identification to wildlife monitoring to poverty mapping.

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Learn how to install and use our Python package, which provides a simple and standardized interface for all WILDS datasets.

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Datasets

WILDS consists of 7 datasets across a diverse range of data modalities, applications, and types of distribution shifts. Explore the datasets here.

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Leaderboard

We track the state-of-the-art on each dataset. View and submit your results here.

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Team

WILDS is maintained by researchers from Stanford, Berkeley, Caltech, Cornell, and Microsoft Research. We are actively adding datasets; please contact us if you are interested in contributing.

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Paper

Read our paper for an overview of distribution shifts in the wild and for more details on each dataset.

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Github

WILDS is an open-source community project. Clone the code, report an issue, or ask questions and take part in discussions.

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